Course Structure Overview
The Bachelor of Electronics and Communication program is structured over 8 semesters, with a balanced mix of core engineering subjects, departmental electives, science electives, and laboratory components. Each semester builds upon the previous one to ensure a progressive understanding of the field.
| Semester | Course Code | Full Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | ENG-101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | PHY-101 | Physics for Engineers | 3-1-0-4 | - |
| I | CHE-101 | Chemistry for Engineers | 3-1-0-4 | - |
| I | ECO-101 | Introduction to Electronics | 3-1-0-4 | - |
| I | ENG-102 | English for Engineers | 2-0-0-2 | - |
| I | LAB-101 | Basic Electronics Lab | 0-0-3-1 | - |
| II | ENG-201 | Engineering Mathematics II | 3-1-0-4 | ENG-101 |
| II | PHY-201 | Modern Physics | 3-1-0-4 | PHY-101 |
| II | CHE-201 | Organic Chemistry | 3-1-0-4 | CHE-101 |
| II | ECO-201 | Digital Electronics | 3-1-0-4 | ECO-101 |
| II | ECO-202 | Circuit Analysis | 3-1-0-4 | - |
| II | LAB-201 | Digital Electronics Lab | 0-0-3-1 | ECO-101 |
| III | ENG-301 | Engineering Mathematics III | 3-1-0-4 | ENG-201 |
| III | ECO-301 | Analog Electronics | 3-1-0-4 | ECO-202 |
| III | ECO-302 | Signals and Systems | 3-1-0-4 | ENG-201 |
| III | ECO-303 | Electromagnetic Fields | 3-1-0-4 | PHY-201 |
| III | ECO-304 | Computer Programming | 3-1-0-4 | - |
| III | LAB-301 | Analog Electronics Lab | 0-0-3-1 | ECO-202 |
| IV | ENG-401 | Engineering Mathematics IV | 3-1-0-4 | ENG-301 |
| IV | ECO-401 | Communication Systems | 3-1-0-4 | ECO-302 |
| IV | ECO-402 | VLSI Design | 3-1-0-4 | ECO-301 |
| IV | ECO-403 | Embedded Systems | 3-1-0-4 | ECO-402 |
| IV | ECO-404 | Microprocessors and Microcontrollers | 3-1-0-4 | - |
| IV | LAB-401 | VLSI Design Lab | 0-0-3-1 | ECO-402 |
| V | ECO-501 | Wireless Communication | 3-1-0-4 | ECO-401 |
| V | ECO-502 | Network Security | 3-1-0-4 | - |
| V | ECO-503 | Control Systems | 3-1-0-4 | ENG-401 |
| V | ECO-504 | Image Processing | 3-1-0-4 | - |
| V | LAB-501 | Wireless Communication Lab | 0-0-3-1 | ECO-501 |
| VI | ECO-601 | Advanced Signal Processing | 3-1-0-4 | ECO-504 |
| VI | ECO-602 | IoT and Smart Devices | 3-1-0-4 | - |
| VI | ECO-603 | Optical Communication | 3-1-0-4 | - |
| VI | ECO-604 | Renewable Energy Systems | 3-1-0-4 | - |
| VI | LAB-601 | IoT and Smart Devices Lab | 0-0-3-1 | ECO-602 |
| VII | ECO-701 | Capstone Project I | 2-0-4-4 | - |
| VIII | ECO-801 | Capstone Project II | 2-0-4-4 | - |
Advanced Departmental Electives
Advanced Signal Processing: This course delves into advanced topics in signal processing, including wavelets, adaptive filtering, and machine learning applications in signal analysis. Students will explore real-time implementation using MATLAB and Python.
IoT and Smart Devices: Focuses on the architecture, protocols, and practical implementation of Internet of Things (IoT) systems, with emphasis on sensor networks, cloud integration, and mobile interfaces.
Optical Communication: Covers the fundamentals of optical fiber communication, including transmission media, modulation techniques, and network design principles used in modern telecommunications.
Renewable Energy Systems: Explores the integration of renewable energy sources into power grids, focusing on solar, wind, and hybrid systems with smart grid technologies.
Wireless Sensor Networks: Teaches the design and deployment of wireless sensor networks for environmental monitoring, healthcare applications, and industrial automation.
Network Security and Cryptography: Provides an in-depth study of modern cryptographic algorithms, network security protocols, and threat detection mechanisms to protect digital communications.
Control Systems: Introduces advanced control theory with practical examples from robotics, process control, and automation systems using MATLAB/Simulink tools.
Image Processing: Covers techniques in image enhancement, segmentation, compression, and recognition using both classical and deep learning-based methods.
VLSI Design: Focuses on the design and simulation of integrated circuits, including logic synthesis, layout design, and verification techniques for modern chips.
Embedded Systems: Combines hardware and software aspects of embedded systems, with a focus on real-time operating systems, microcontroller programming, and system integration.
Project-Based Learning Philosophy
The department believes that project-based learning is crucial for developing practical engineering skills. Students engage in two major projects during their academic journey: a mini-project in the third year and a final-year thesis or capstone project in the eighth semester.
Mini-projects are typically assigned based on student interest and faculty expertise, with each group consisting of 3-5 members working under the supervision of a faculty mentor. The evaluation criteria include documentation, presentation, demonstration, and peer review.
The final-year capstone project is a comprehensive endeavor that integrates knowledge from all previous semesters. Students must present their work at an industry-level conference or showcase event, with potential for funding and publication opportunities.